摘要
针对机组控制系统动态范围宽、要求响应速度快、超调量小及参数时变的特性,研究了一种基于神经元的自适应PID控制器。利用神经网络的在线调整功能,自动调整PID控制参数,以适应被控过程的参数变化和克服扰动的影响。仿真和实验结果表明,该算法简洁实用,控制效果优于传统的PID控制。
According to the feature of the control system of electromotor groups, such as wide dynamic range, fast response, little excessive regulation and time-varying parameters, a new self-optimzing PID controller based on the artificial neural networks is studied. By using the on-line adjusting function of neural networks,PID control parameters can be adjusted automatically.It is showed by simulation and experiment that this method is more superior to traditional PID control.
出处
《控制工程》
CSCD
2004年第3期206-208,273,共4页
Control Engineering of China
